Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.9 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Abbott
2
52 kgHobson
5
55 kgBeltman
9
68 kgWood
13
56 kgThornburn
15
56 kgNumainville
54
65 kgSmall
55
55 kg
2
52 kgHobson
5
55 kgBeltman
9
68 kgWood
13
56 kgThornburn
15
56 kgNumainville
54
65 kgSmall
55
55 kg
Weight (KG) →
Result →
68
52
2
55
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ABBOTT Mara | 52 |
| 5 | HOBSON Leigh | 55 |
| 9 | BELTMAN Chantal | 68 |
| 13 | WOOD Oenone | 56 |
| 15 | THORNBURN Christine | 56 |
| 54 | NUMAINVILLE Joëlle | 65 |
| 55 | SMALL Carmen | 55 |